Sep142016

Service Fabric Preview on Linux Available This Month at Ignite 2016

Microsoft continue with its Azure lineup said that the preview of Service Fabric on Linux will be publicly available at Microsoft Ignite in Atlanta on Sept. 26, 2016.

With Tuesday announcement customers can now provision Service Fabric clusters in Azure using Linux as the host operating system and deploy Java applications to Service Fabric clusters, Mark Russinovich, announced.

Service Fabric on Linux will initially be available for Ubuntu, with support for RHEL coming soon.

In addition, developers can now use their choice of tools to build and deploy on Service Fabric on Linux with CLI (Command-Line Interface), Eclipse and Jenkins support.

“Just as on Windows, developers can build and test their Service Fabric applications on Linux on a one-box setup, meaning you don’t need a cluster in Azure to build and test your Service Fabric app,” Russinovich writes. “Our vision is to enable developers to build Service Fabric applications on the OS of their choice and run them wherever they want.”

Continuning further he said, a Linux standalone installer is in pipeline as furture release. This installer will enable “Service Fabric to be used outside of Azure for on-premises, hybrid and multi-cloud deployments.”

Additionally, he noted, they also have plan to open source parts of the platform, and will start with opensourcing Service Fabric’s programming models. “This will allow developers to enhance the standard programming models and use them as starting points to create their own programming models and to support other languages,” added Russinovich.

In other cloud releated news, Miami-Dade County, the southeastern United States’ biggest police department powered by Microsoft’s cloud technology launched two new solutions: “VIEVU body-worn cameras for officers,” and a new “Community on Patrol (COP) app.,”

“Citizens now expect video documentation of most situations where police officers are involved, and body cameras help maintain an objective level of transparency that benefits the officers, suspects, witnesses and victims in a potential crime situation,” says Juan J. Perez, director of the Miami-Dade Police Department.

Azure Data Lake is leading the Big Data in the Cloud innovation, as it allows businesses to run big data workloads at scale.

“It’s nicely designed and robust, has a new query language that has a familiar feel to anyone who knows C# or SQL, and is packaged to feel accessible to traditional application and database developers,” explains Julie Smith and Audrey Hammonds of Innovation Architects, who shared their insights with MacEntee.

Nine months after its debut, several new updates are now live for the Data Science Virtual Machine.

Published in Azure Marketplace, this custom virtual machine image is now available in both Windows and Linux editions—and comes with a host of popular data science tools pre-installed and pre-configured.

Other updates to VM include; Azure CLI, Visual Studio Community 2015 Update 3, as well as several language tools such as R, Python and node,js. Additionally, “it also has pre-installed plugins foreasier working with data and analytics technology, including with SQL Server, Azure HDInsight(Hadoop), Azure Data Lake.”

For Linux Edition, R Server Developer edition, now available on Linux DSVM, allowing you to build models at scale in R using Microsoft’s ScaleR libraries. It’s available for “non-production use only.”

Another major update bring the support for JupyterHub on Linux VM. “JupyterHub is a multiuser solution for Jupyter Notebook server.”

Additionally, Julia language both in command line and as a Jupyter notebook kernel is available as well, wrties data platform team.

The slide below shows key software components available in each of the DSVM editions:

Also, Visual C++ Linux 1.0.5 extension for Visual Studio 2015 has some major performance improvements that feature incremental copy and build, and considerably reducing the number of connections to remote Linux machine, noted dev tools team.

To know the cost-benefit of an Internet of Things (IoT) solution, it’s important to accurately calculate the costs. Companies should factor in implementation downtime, retrofitting, consulting, platform fees, security and more into their costs, writes Jerry Lee, Microsoft’s director of product marketing for Data Platform and IoT.

“Determining the actual costs of all these factors will generally push the solution’s break-even point farther into the future,” he writes. “However, an accurate assessment of costs is only the first half of the equation — you also need to look at the potential benefits your business could gain from the solution that may not be apparent on the surface.”

Deepak Gupta is a IT & Web Consultant. He is the founder and CEO of diTii.com & DIT Technologies, where he's engaged in providing Technology Consultancy, Design and Development of Desktop, Web and Mobile applications using various tools and softwares. Sign-up for the Email for daily updates. Google+ Profile.